A bayesian approach to identify bitcoin users

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First, the propagating messages are record the list of clients of anonimity and low latency are properties that can ysers for each transaction that we.

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Table 1. The transactions of a single user (tx) assign probabilities to the clients (IP addresses), which shows the likelihood that the client is the originator. In this paper, we develop a mathematical model using a probabilistic approach to link Bitcoin addresses and transactions to the originator IP. The users are identified by their Bitcoin addresses, which are random strings in the public records of transactions, the blockchain. When a user initiates a.